一種新的SAR圖像的邊沿檢測方法研究
A NEW APPROACH TO EDGE DETECTION OF SAR IMAGES
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摘要: 該文針對合成孔徑雷達(dá)(SAR)圖像的特點(diǎn),利用小波變換的高頻分量能反映邊沿細(xì)節(jié)的特性,提出了一種結(jié)合小波變換、模糊中值濾波、自適應(yīng)門限判決和微分梯度算子的邊沿檢測的新方法,在采用模糊中值濾波時(shí),提出了一種自適應(yīng)選擇模糊中值濾波系數(shù)的方法。實(shí)驗(yàn)研究的結(jié)果表明該方法具有良好的邊沿檢測效果和穩(wěn)定性。
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關(guān)鍵詞:
- 合成孔徑雷達(dá); 小波變換; 模糊中值濾波; 邊沿檢測
Abstract: The high frequency part of wavelet transform reflects the detail of edges. And median filter is a kind of nonlinear stack filter, it has good abilities in keeping edge and filtering clutter. Based on the analysis of the characteristics of the images of Synthetic Aperture Radar (SAR), this paper puts forward a combined method for edge s detection of SAR images. This method is composed of wavelet transform, fuzzy median filter, adaptive thresholding and differential gradient operator. In using fuzzy median filter, this paper gives out a new method for adaptive selecting the factors of fuzzy median filter. The experimental results show the effectiveness and stability of this method. -
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